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May 16, 2024
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ISE 4160 - Principles of Six Sigma
Application of statistics to control of quality and reliability in products and services, including training in the Six Sigma DMAIC problem-solving methodology. Topics include tools and techniques for statistically-based product and process improvement; design of acceptance sampling and process control systems, including attention to inspection and test methods; and design and implementation of quality assurance programs, including nonstatistical dimensions of quality systems.
Requisites: ET 2450 or ISE 3200 or ET 2400 or ISE 3040 or MATH 2500
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 2.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will be able to develop and analyze Phase I control charts for variables and attributes and Phase II advanced control charts: CUSUM (cumulative sum) and EWMA (exponentially weighted moving average) charts.
- Students will be able to construct and use sampling plans for attribute data.
- Students will be able to measure capability of a process and, based on the results, determine ways to improve it.
- Students will be able to utilize statistical software for techniques related to quality control and six sigma projects.
- Students will be able to perform the steps in the DMAIC process (define, measure, analyze, Improve, Control).
- Students will be able to recognize, evaluate, and connect ethical issues.
- Students will be able to apply ethical perspectives, theories, or concepts to a decision-making situation.
- Students will be able to evaluate alternative ethical perspectives within a decision-making situation.
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